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Curated links from external sources — not 360Softy original articles.

ExternalAI
AWS Machine Learning Blog

From theory to delivery: How Atos upskilled 400 engineers in agentic AI

When Atos set out to upskill 400 engineers in agentic AI, hands-on learning was the missing ingredient. Over three days, engineers built multi-agent systems on AWS through an AI League event. This post explains why Atos chose the format, what engineers built and learned, and what other enterprises should consider.

Amazon BedrockAmazon SageMakerCustomer Solutions
AWS Machine Learning BlogRead original
ExternalAI
AWS Machine Learning Blog

Tokenomics at scale: How Jamf built real-time spend enforcement for Amazon Bedrock

As generative AI adoption scales, cost governance becomes a top challenge. Learn how Jamf built real-time, per-user spend enforcement for Amazon Bedrock using IAM Customer Managed Policies, an Amazon Athena cost view, and a serverless AWS Lambda loop that applies tiered model limits in near-real-time without disrupting active sessions.

Advanced (300)Amazon BedrockCustomer Solutions
AWS Machine Learning BlogRead original
ExternalAI
AWS Machine Learning Blog

Securing Amazon Quick from POC to production: Agents, Flows, and Spaces

Amazon Quick proof-of-concept projects often stall when security teams review the production plan. This post walks through designing dashboards, Spaces, knowledge bases, agents, and Flows with security controls that hold as you scale: dataset shaping, agent isolation, document classification, and approval gates.

Advanced (300)Amazon Quick SuiteBest Practices
AWS Machine Learning BlogRead original
ExternalSoftware Engineering
DZone

Building a Zero-Cost Daily Job Alert Pipeline on GitHub Actions

I needed a job to run once a day, remember what it did yesterday, and cost nothing to operate. The obvious answer is a small VM with cron, or a Lambda plus DynamoDB. I did not want to pay for either, and I did not want a server to patch. So I pushed the whole thing onto GitHub Actions and used a JSON file committed back to the repo as the database. It has now run 139 times in production on the free tier, tracking just over 1,000 records, and the operating bill is still zero. Here is the part tha

DZoneRead original
ExternalCloud
Google Cloud Blog

How Blackline simplifies perimeter policy intelligence with VPC Service Controls

Establishing network-level perimeters with VPC Service Controls (VPC-SC) is a critical step that can help you protect your cloud environment against data exfiltration, compromised accounts, and insider threats. Today, Google Cloud is excited to share new policy intelligence capabilities in VPC-SC that can help drive even greater operational simplicity. With our latest release of the VPC-SC violation analyzer and violation dashboard, we have simplified policy management and troubleshooting, to ma

Security & IdentityCustomers
Google Cloud BlogRead original
ExternalCloud
Google Cloud Blog

Introducing TabFM in BigQuery: Predictive analytics reimagined

Historically, enterprise predictive analytics tasks such as predicting churn, purchase intent, or fraud scoring have meant building custom models using libraries like XGBoost, Random Forest, or Deep Neural Networks (DNNs). While effective, the traditional train-tune-deploy-retrain cycle can be complex and time-consuming. Additionally, the overhead of manual feature engineering, hyperparameter tuning, lengthy and expensive training, and the need for specialized data science skills can lead busine

BigQueryData Analytics
Google Cloud BlogRead original
ExternalDevOps
HashiCorp Blog

Secure mainframe access with HashiCorp Boundary

Mainframes remain the backbone of many of the world’s critical systems, processing millions of transactions per second while delivering near-continuous availability. From powering Wall Street transactions to travel bookings, mainframes are ubiquitous. Yet operator access to these platforms often still relies on traditional protocols such as HTTP(S), SSH, and Telnet, which can introduce security, governance, and audit challenges. For the mission-critical platforms that mainframes are, there shoul

HashiCorp BlogRead original

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